ML Engineer (Classical ML GenAI) Location - Hyderabad Experience - 4 years This role delivers AI use cases from first principles to production. The profile spans classical ML (predictive modelling, process optimisation) and GenAI (LLM-powered applications, RAG, agents) — not a specialist in one, but genuinely capable across both. The defining quality is the ability to take a business problem, select the right technical approach, and see it through to a reliable, deployed product — not just a proof of concept. CORE RESPONSIBILITIES – Own the full technical lifecycle of AI use cases: problem and mvp scoping → data analysis → model/application development → pilot → productionisation – Build GenAI applications: RAG pipelines, LLM-powered features, agents, and prompt orchestration workflows for classical and more manufacturing related use cases – Build and productionise classical ML and Deep Learning models for manufacturing use cases (e.g., predictive maintenance, smart allocation, predic...